Researchers from Baidu Research and the University of Maryland have developed a robotic excavator system that integrates perception, planning, and control capabilities to enable material loading over a long duration with no human intervention
Researchers from Baidu Research Robotics and Auto-Driving Lab (RAL) and the University of Maryland, College Park, have introduced an autonomous excavator system (AES) that can perform material loading tasks for a long duration without any human intervention while offering performance closely equivalent to that of an experienced human operator.
AES is among the world’s first uncrewed excavation systems to have been deployed in real-world scenarios and continuously operating for over 24 hours, bringing about industry-leading benefits in terms of enhanced safety and productivity.
The researchers described their methodology in a research paper published on June 30, 2021, in Science Robotics. [Read more…] about Autonomous excavators ready for around the clock real-world application
